14
Mar
Microsoft to showcase purpose-built AI infrastructure at NVIDIA GTC
Join Microsoft at NVIDIA GTC, a free online global technology conference (GTC), March 20 to 23 to learn how organizations of any size can power AI innovation with purpose-built cloud infrastructure from Microsoft.
Microsoft's Azure AI supercomputing infrastructure is uniquely designed for AI workloads and helps build and train some of the industry’s most advanced AI solutions. From data preparation to model and infrastructure performance management, Azure’s comprehensive portfolio of powerful and massively scalable GPU-accelerated virtual machines (VMs) and seamless integration with services like Azure Batch and open-source solutions helps streamline management and automation of large AI models and infrastructure.
Attend NVIDIA GTC to discover how Azure AI infrastructure optimized for AI performance can deliver speed and scale in the cloud and help you reduce the complexity of building, training, and bringing AI models into production.
Don’t miss session S52469 featuring Nidhi Chappell, a recipient of the 2023 People to Watch, recognized as a high-performance computing (HPC) luminary by HPCwire. Nidhi plays a leading role in driving HPC and AI innovation, accelerating the development of science and adoption of AI by enabling access to the best infrastructure and services for Microsoft customers.
Register for NVIDIA GTC today.
Microsoft sessions at NVIDIA GTC
Add the below Microsoft sessions at GTC to your conference schedule to learn about the latest Azure AI infrastructure and dive deep into a variety of use cases and technologies.
Featured sessions
Accelerate AI Innovation with Unmatched Cloud Scale and Performance
Thursday, March 23, 2023 | 7:00 to 7:50 AM PT
Nidhi Chappell, General Manager, Azure HPC, AI, SAP and Confidential Computing, Microsoft
Kathleen Mitford, Corporate Vice President, Azure Marketing, Microsoft
Manuvir Das, Vice President of Enterprise Computing, NVIDIA
Alex Kendall, CEO and Co-Founder, Wayve
Azure’s purpose-built AI infrastructure is enabling leading organizations in AI to build a new era of innovative applications and services. The convergence of cloud flexibility and economics, with advances in cloud performance, is paving the way to accelerate AI initiatives across simulations, science, and industry. Whether you need to scale to 80,000 cores for MPI workloads, or you're looking for AI supercomputing capabilities, Azure can support your needs. Learn more about Azures AI platform, our latest updates, and hear about customer experiences.
Azure's Purpose-Built AI Infrastructure Using the Latest NVIDIA GPU Accelerators
On-demand
Matt Vegas, Principal Product Manager, Microsoft
Microsoft offers some of the most powerful and massively scalable Virtual Machines, optimized for AI workloads. Join us for an in-depth look at the latest updates for Azure’s ND-series based on NVIDIA GPUs, engineered to deliver a combination of high-performance, interconnected GPUs, working in parallel that can help you reduce complexity, minimize operational bottlenecks operations, and can deliver reliability at scale.
Talks and panel sessions
|
Session ID |
Session Title |
Speakers |
Primary Topic |
|
Accelerating Large Language Models via Low-Bit Quantization |
Young Jin Kim, Principal Researcher, Microsoft Rawn Henry, Senior AI Developer Technology Engineer, NVIDIA |
Deep Learning-Inference |
|
|
Transforming Clouds to Cloud-Native Supercomputing: Best Practices with Microsoft Azure |
Jithin Jose, Principal Software Engineer, Microsoft Azure Gilad Shainer, SVP Networking, NVIDIA |
HPC- Supercomputing |
|
|
Accelerating AI in Federal Cloud Environments |
Bill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft Steven H. Walker, Chief Technology Officer, Lockheed Martin Matthew Benigni, Chief Data Officer, Army Futures Command Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA |
Data Center/ Cloud-Business Strategy |
|
|
Accelerating Disentangled Attention Mechanism in Language Models |
Pengcheng He, Principal Researcher, Microsoft Haohang Huang, Senior AI Engineer, NVIDIA |
Conversational AI NLP |
|
|
SwinTransformer and its Training Acceleration |
Han Hu, Principal Research Manager, Microsoft Research Asia Li Tao, Tech Software Engineer, NVIDIA |
Deep Learning– Training+ |
|
|
Multimodal Deep Learning for Protein Engineering |
Kevin Yang, Senior Researcher, Microsoft Research New England |
Healthcare- Drug Discovery |
|
|
Improving Dense Text Retrieval Accuracy with Approximate Nearest Neighbor Search |
Menghao Li, Software Engineer, Microsoft Akira Naruse, Senior Developer Technology Engineer, NVIDIA |
Data Science |
|
|
Hopper Confidential Computing: How it Works under the Hood |
Antoine Delignat-Lavaud, Principal Researcher Microsoft Research, Microsoft Phil Rogers, VP of System Software, NVIDIA |
Data Center/ Cloud Infrastructure- Technical |
|
|
Data-Driven Approaches to Language Diversity |
Kalika Bali, Principal Researcher, Microsoft Research India Caroline Gottlieb, Product Manager, Data Strategy, NVIDIA Damian Blasi, Harvard Data Science Fellow, Department of Human Evolutionary Biology, Harvard University Bonaventure Dossou, Ph.D. Student, McGill University and Mila Quebec AI Institute EM Lewis-Jong, Common Voice – Product Lead, Mozilla Foundation |
Conversational AI/NLP |
|
|
Accelerating AI in Federal Cloud Environments, with Q&A from EMEA Region |
Bill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft Steven H. Walker, Chief Technology Officer, Lockheed Martin Larry Brown, SA Manager, NVIDIA Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA |
Data Center/ CloudBusiness Strategy |
|
|
Accelerating Wind Energy Forecasts with AceCast |
Amirreza Rastegari, Senior Program Manager, Azure Specialized Compute, Microsoft Gene Pache, TempoQuest |
HPC-Climate/ Weather/ Ocean Modeling |
|
|
Next-Generation AI for Improving Building Security and Safety |
Adina Trufinescu, Senior Program Manager, Azure Specialized Compute, Microsoft |
Computer Vision -AI Video Analytics |
Deep Learning Institute workshops and labs
We are proud to host NVIDIA’s Deep Learning Institute (DLI) training at NVIDIA GTC. Attend full-day, hands-on, instructor-led workshops or two-hour free training labs to get up to speed on the latest technology and breakthroughs. Hosted on Microsoft Azure, these sessions enable and empower you to leverage NVIDIA GPUs on the Azure platform to solve the world’s most interesting and relevant problems.
Register for a Deep Learning Institute workshop or lab today.
Learn more about Azure AI infrastructure
Whether your project is big or small, local or global, Microsoft Azure is empowering companies worldwide to push the boundaries of AI innovation. Learn how you can make AI your reality by exploring the following resources.